Results 241 to 250 of about 345,393 (288)

Beyond randomness: Evaluating measures of information entropy in binary series

Physical Review E, 2022
The enormous amount of currently available data demands efforts to extract meaningful information. For this purpose, different measurements are applied, including Shannon's entropy, permutation entropy, and the Lempel-Ziv complexity. These methods have been used in many applications, such as pattern recognition, series classification, and several other
Mariana Sacrini Ayres Ferraz, Alexandre Hiroaki Kihara   +1 more
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Entropy as a measure of database information

[1990] Proceedings of the Sixth Annual Computer Security Applications Conference, 2002
An estimate of the information a database contains and the quantification of the vulnerability of that database to compromise by inferential methods is discussed. Such a measure could be used to evaluate the deterrent value of extant protection methods and provide a measure of the potential for inferential compromise through the use of one of the known
E.A. Unger, L. Harn, V. Kumar
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Information‐theoretical entropy as a measure of sequence variability

Proteins: Structure, Function, and Bioinformatics, 1991
AbstractWe propose the use of the information‐theoretical entropy, S = −Σpi log2 Pi, as a measure of variability at a given position in a set of aligned sequences. pi stands for the fraction of times the i‐th type appears at a position. For protein sequences, the sum has up to 20 terms, for nucleotide sequences, up to 4 terms, and for codon sequences ...
P S, Shenkin, B, Erman, L D, Mastrandrea
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Entropy Measures and Views of Information

2016
Among the countless papers written by Ronald R. Yager, those on Entropies and measures of information are considered, keeping in mind the notion of view of a set, in order to point out a similarity between the quantities introduced in various frameworks to evaluate a kind of entropy.
Bouchon-Meunier, Bernadette, Marsala, Christophe   +1 more
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Information Meaning of Entropy of Nonergodic Measures

Differential Equations, 2019
The main aim of this paper is to study the limit frequency properties of trajectories of the simplest dynamical system generated by the left shift on the space of sequences of letters from a finite alphabet. More precisely, a modification of the Shannon-McMillan-Breiman theorem is proved: for any invariant (not necessarily ergodic) probability measure \
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Measures of fuzziness and entropy of fuzzy information

Proceedings of the 3rd World Congress on Intelligent Control and Automation (Cat. No.00EX393), 2002
Vagueness of knowledge results from the imprecision and uncertainty of knowledge. In fuzzy theory, much attention has being paid to the measure of fuzziness of a fuzzy subset, while entropy, as a measure of uncertainty, plays a significant role in the field of information theory.
null Hang Xiaoshu, null Xiong Fanlun
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Measurement of the axial displacement with information entropy

Journal of Optics A: Pure and Applied Optics, 2004
For completely describing the movement of a bead in an optical tweezer system, the measurement of the axial movement of the bead is necessary as well as its lateral movement. In order to find a convenient method to measure the axial displacement of the trapped bead, a new method based on Shannon's information entropy is developed. When the bead is in a
J H Bao, Y M Li, L R Lou, Z Wang
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Generalizations of Entropy and Information Measures

2015
This paper presents and discusses two generalized forms of the Shannon entropy, as well as a generalized information measure. These measures are applied on a exponential-power generalization of the usual Normal distribution, emerged from a generalized form of the Fisher’s entropy type information measure, essential to Cryptology.
Thomas L. Toulias, Christos P. Kitsos
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